Data Analysis A-Z: Become Data Analyst in 30 Days
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Embark on a transformative journey with our course, “Data Analysis A-Z: Become Data Analyst in 30 Days,” where you will unravel the intricacies of data analysis from start to finish. Throughout this immersive experience, participants will gain a comprehensive understanding of the complete data analysis workflow, mirroring real-life scenarios encountered by professional data analysts.
This course goes beyond technical proficiency, emphasizing the development of personal capabilities crucial for effective data analysis. From critical thinking to problem-solving, participants will acquire the skills essential for making informed decisions and recommendations based on robust data insights.
The practical application of various data analysis techniques is a cornerstone of this program. Participants will dive into hands-on exercises covering value counts, percentage calculations, group by operations, pivot tables, correlation, and regression analysis, ensuring a professional mastery of these essential tools.
Real-world application takes center stage as participants tackle over 12 data analytical questions, providing practical experience in applying data analysis skills to diverse situations. This emphasis on practicality extends to the extraction of significant insights from data, fostering the ability to make informed decisions and recommendations grounded in real-world application.
Moreover, this course equips participants with Python proficiency tailored for data analysis. Covering key libraries and tools widely used in the industry, participants will leverage Python to manipulate and analyze data effectively. The principles of statistical inference are also covered, ensuring participants can draw meaningful conclusions and make data-driven decisions based on sound statistical evidence. Throughout the course, critical thinking remains a focal point, cultivating the ability to think deeply about data, extract meaningful insights, and deliver actionable recommendations for informed decision-making. Join us on this intensive 30-day journey and emerge as a proficient and professional data analyst.
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6Day 3: Loading dataset in your jupyter notebookVideo lesson
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7Day 4: Dealing with missing valuesVideo lesson
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8Day 5: Dealing with inconsistent valuesVideo lesson
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9Day 6: Dealing with miss-identified data typesVideo lesson
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10Day 7: Dealing with duplicated dataVideo lesson
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11QUIZ 1: Data Cleaning A-ZQuiz
I believe that you have loaded the required practice data in the same directory within a jupyter notebook as commanded in Lecture 2. If not, please ensure that you have successfully completed the instructions given in the lecture.
Then, you may proceed to take the QUIZ.
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12Solution 1: Data Cleaning A-ZText lesson
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13Day 8: Learn data sorting and arrangementVideo lesson
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14Day 9: Learn conditional data filteringVideo lesson
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15Day 10: Learn to merge extra variablesVideo lesson
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16Day 11: Learn to concatenate extra dataVideo lesson
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17QUIZ 2: Data Manipulation A-ZQuiz
I believe that you have loaded the required practice data in the same directory within a jupyter notebook as commanded in Lecture 2. If not, please ensure that you have successfully completed the instructions given in the lecture. Additionally, you have to complete the QUIZ 1 successfully to complete this QUIZ.
Then, you may proceed to take the QUIZ.
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18Solution 2: Data Manipulation A-ZText lesson
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19Day 12: Exploring value counts analysis methodVideo lesson
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20Day 13: Exploring descriptive statistics analysis methodVideo lesson
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21Day 14: Exploring group by analysis methodVideo lesson
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22Day 15: Exploring pivot table analysis methodVideo lesson
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23Day 16: Exploring crosstabulation analysis methodVideo lesson
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24Day 17: Exploring correlation analysis methodVideo lesson
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25QUIZ 3: Exploratory Data Analysis A-ZQuiz
I believe that you have loaded the required practice data in the same directory within a jupyter notebook as commanded in Lecture 2. If not, please ensure that you have successfully completed the instructions given in the lecture. Additionally, you have to complete the QUIZ 1 and QUIZ 2 successfully to complete this QUIZ.
Then, you may proceed to take the QUIZ.
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26Solution 3: Exploratory Data Analysis A-ZText lesson
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31Day 21: Testing normal distribution of numeric variablesVideo lesson
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32Day 22: Square root transformation for normal distributionVideo lesson
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33Day 23: Logarithmic transformation for normal distributionVideo lesson
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34Day 24: Box-cox transformation for normal distributionVideo lesson
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35Day 25: Yeo-Johnson transformation for normal distributionVideo lesson
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36QUIZ 5: Data Transformation A-ZQuiz
I believe that you have loaded the required practice data in the same directory within a jupyter notebook as commanded in Lecture 2. If not, please ensure that you have successfully completed the instructions given in the lecture. Additionally, you have to complete the QUIZ 1, QUIZ 2 and QUIZ 3 successfully to complete this QUIZ.
Then, you may proceed to take the QUIZ.
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37Solution 5: Data Transformation A-ZText lesson
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38Day 26: One way between groups ANOVAVideo lesson
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39Day 27: Pearson product-moment correlation coefficientVideo lesson
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40Day 28: Multiple linear regression analysis with statsmodel.apiVideo lesson
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41Final QUIZ: Hypothesis Testing A-ZQuiz
I believe that you have loaded the required practice data in the same directory within a jupyter notebook as commanded in Lecture 5. If not, please ensure that you have successfully completed the instructions given in the lecture. Additionally, you have to complete the QUIZ 1, QUIZ 2, QUIZ 3 and QUIZ 4 successfully to complete this QUIZ.
Then, you may proceed to take the QUIZ.
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42Final Solution: Hypothesis Testing A-ZText lesson

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